Multi-Scale Computational Modeling Core (MCM)

总结 多尺度计算建模（MCM）核心将继续提供必要的专业知识， 生物工程的多尺度和多学科计算建模领域的基础设施， 生物医学问题，新增加的人工智能/机器学习（AI/ML）能力， COBRE第二阶段的数据驱动建模。虚拟人体试验的关键，SC-TRIMH的组织概念， 是开发人体的预测性多尺度模型，用于评估新的干预措施，设备， 治疗学作为其主要使命，该核心将支持我们的SC-TRIMH调查人员进行所有计算， 在分子、细胞、组织、身体和群体水平上的模拟需求，以改善肌肉骨骼 健康此外，它将为所有SC-TRIMH调查人员和同事提供指导和战略规划， 特别是那些在多尺度计算建模，AI/ML， 或者使用集群并行计算来最大化它们的计算结果。因此，调查人员将被告知 最佳方法、模型构建策略和软件设置，以充分利用克莱姆森 大学的集群并行计算能力和广泛的AI/ML研究能力。此外，我们将 努力将MCM Core打造成促进全面计算生物工程的“首选之地” 为来自南卡罗来纳州，东南部，全国和世界各地的调查人员进行研究。 具体而言，MCM核心将维护和开发最先进的软件工具和软件包， SC-TRIMH研究人员在分子，细胞， 组织，身体和人口水平（目标1）; MCM核心将调整和扩展当前的计算 集成基于AI/ML建模的工具和软件包，以便在克莱姆森的棕榈集群（Aim 2）; MCM核心将加强对COBRE研究的标准和项目特定的援助和指导 项目负责人（RPL），其他SC-TRIMH研究者及其团队，特别是那些没有主要 复杂问题建模的专业知识（目标3）; MCM核心将进一步促进MCM核心作为一个 领先的资源和“去的地方”的研究人员从克莱姆森大学，南卡罗来纳州，东南部 区域和超越所有复杂生物工程的多尺度和多学科计算建模， 生物医学问题在细胞，组织，身体和人口水平，特别强调在建设专业知识 患者特异性或基于队列的肌肉骨骼系统（目标4）。自MCM核心问世以来， 利用核心资源的项目数量每年都在大幅增加。在第二阶段，我们将进一步 通过采购和开发新的软件工具和软件包，发展基于AI/ML的核心能力 建模及其与确定性建模和概率建模的集成。培养一个肌肉骨骼 研究社区，我们将扩大目前的平台，以加强SC-TRIMH之间的互动 研究人员、核心主管和与计算建模相关的外部资源。

SUMMARY The Multi-scale Computational Modeling (MCM) Core will continue to provide essential expertise and infrastructure in the area of multi-scale and multi-discipline computational modeling of bioengineering and biomedical problems, with a new addition of Artificial Intelligence/Machine Learning (AI/ML) capacities for big data driven modeling in the COBRE Phase II. Key to Virtual Human Trials, the organizing concept of SC-TRIMH, is to develop predictive multi-scale models of the human body for assessing new interventions, devices, and therapeutics. As its main mission, this core will support our SC-TRIMH investigators in all their computation and simulation needs at molecular, cellular, tissue, body, and population levels toward improving musculoskeletal health. Additionally, it will provide mentoring and strategic planning to all SC-TRIMH investigators and associates, especially those who do not have primary expertise in the areas of multi-scale computational modeling, AI/ML, or using cluster parallel computing to maximize their computational outcome. Thus, investigators will be advised on best approaches, model building strategies, and software settings to take full advantage of Clemson University's cluster parallel computing capabilities and extensive AI/ML research capacity. Furthermore, we will strive to build the MCM Core into the “go-to place” that facilitates comprehensive computational bioengineering research for investigators from across South Carolina, in the southeast, the nation, and around the world. Specifically, the MCM core will maintain and develop the most advanced software tools and packages to enable SC-TRIMH investigators to perform computational bioengineering and biomedical modeling at molecular, cellular, tissue, body, and population levels (Aim 1); the MCM core will tune and expand the current set of computational tools and packages to integrate AI/ML based modeling so that they will run on Clemson's Palmetto Cluster (Aim 2); the MCM core will enhance standard and project-specific assistance and mentoring to the COBRE Research Project Leaders (RPLs), other SC-TRIMH investigators, and their team, especially those who do not have primary expertise in modeling of complex problems (Aim 3); the MCM core will further promote the MCM Core as a leading resource and the “go-to place” for researchers from Clemson University, South Carolina, the southeast region and beyond for all multi-scale and multi-discipline computational modeling of complex bioengineering and biomedical problems at cellular, tissue, body, and population levels with special emphasis on expertise in building patient-specific or cohort-based musculoskeletal systems (Aim 4). Since the inception of the MCM core, the number of projects utilizing the Core has significantly increased each year. During Phase II, we will further develop the core capacities by acquisition and development of new software tools and packages for AI/ML-based modeling and its integration with deterministic modeling and probabilistic modeling. To nurture a musculoskeletal research community, we will expand the current platform to enhance the interaction between the SC-TRIMH investigators, Core Directors, and external resources relating to computational modeling.